Enemy of the State predicted this [1].
It's only a matter of time before it's in use by law enforcement [2].<p>[1] <a href="https://www.youtube.com/watch?v=3EwZQddc3kY&t=11s" rel="nofollow">https://www.youtube.com/watch?v=3EwZQddc3kY&t=11s</a>
[2] <a href="https://news.ycombinator.com/item?id=48520807">https://news.ycombinator.com/item?id=48520807</a>
wondering how accurate the extrapolated distances are? Like the Rhino and the tree -- I wonder if the approximation could be useful in something like forensics from a security video?
Really interesting, and a link to your GitHub with a "code coming soon". Please get us the tool already!
Looks cool. How’s it different from <a href="https://github.com/gaomingqi/sam-body4d" rel="nofollow">https://github.com/gaomingqi/sam-body4d</a> ? My guess: Is sam-body4d focused on temporally consistent body reconstruction into an MHR model, and Lift4D creates the full scene and a model of the tracked object (that doesn’t need to be a human). I may be way off, but a comparison would help me!
I'm sorry but this just reminds me of this tng episode that inspired me as a teen
<a href="https://www.youtube.com/watch?v=4Faiu360W7Q" rel="nofollow">https://www.youtube.com/watch?v=4Faiu360W7Q</a>
This is insanely promising. What a time to be alive!
Cool, so now when the swarm drones come after you, they can reconstruct the video on the fly from that single CCTV shot taken by flock, and pinpoint your location from the aggregated data by plantir!